Driving Into Cybersecurity Trouble With Autonomous Vehicles

Driving Into Cybersecurity Trouble With Autonomous Vehicles

DOI: 10.4018/978-1-6684-7207-1.ch013
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Abstract

Researchers forecast that autonomous vehicles will reduce accidents by 90%. The ethical interplay of autonomous vehicles, cybersecurity vulnerabilities, and societal demands further complicates the governments' decisions on self-driving cars. Autonomous vehicles have safety, economic, and societal benefactors; however, offsetting the unintended consequences of technologies requires governance initiatives to address cybersecurity threats and vulnerabilities. At issue is the lack of ethical consideration for autonomous vehicles from a cybersecurity perspective, given the amount of personal and sensitive data created, used, and stored by autonomous vehicles. The advancement of autonomous cars is increasingly reliant on software, consequently making them vulnerable to cyber-attacks. Software vulnerabilities remain a top cyber-attack vector in all industries. The deliberation concerning ethics for autonomous cars is ebb and flow, especially as opposing sides increase arguments as self-driving vehicles reach a reality.
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Autonomous Vehicles

Autonomous cars are computer-manipulated entities with the sensory and actuator capacities to detect and identify their location and surroundings, plan actions, and execute in accordance with regulatory and safety standards (Hussain & Zeadally, 2019; Winkelman et al., 2019). This paper uses autonomous vehicles, self-driving cars, and autonomous cars interchangeably. Of note, autonomous cars are categorized by levels of autonomy, as depicted in Figure 1. Heineke et al. (2021) indicated that level 4 autonomy is attainable by 2022, while level 5 is forecasted for 2030. Figure 1 depicts the progressive autonomous levels.

Figure 1.

Common Reference Levels of Autonomy (Ghansiyal et al., 2021)

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